Estimating models of on-the-job search using record statistics
By: Gadi Barlevy.
Series: Working paper series ;; WP-2003-18; Working paper series (Federal Reserve Bank of Chicago. Research Dept. : Online) ;; WP-2003-18.
Publisher: Federal Reserve Bank of Chicago
Published: 2003
Place of publication: [Chicago, Ill.]
Language: eng
Format: Electronic resource
Description: "This paper proposes a methodology for estimating job search models that does not require either functional form assumptions or ruling out the presence of unobserved variation in worker ability.  In particular, building on existing results from record- value theory, a branch of statistics that deals with the timing and magnitude of extreme values in sequences of random variables, I show how we can use wage data to identify the distribution from which workers search.  Applying this insight to wage data in the NLSY dataset, I show that the data supports the hypothesis that the wage o²Þer distribution is Pareto, but not that it is lognormal"--Federal Reserve Bank of Chicago web site.
Notes: Also available in print.
Includes bibliographical references.
Title from PDF file as viewed on 10/1/2004.
System requirements: Adobe Acrobat Reader.
Mode of access: World Wide Web.